לוח משרות דרושים Senior Data Scientist, לחיפוש זה נמצאו 42 משרות

Were looking for an experienced and impact driven professional to join our global Risk team as a Senior Deal Strategist.
In this role, you will take a leading part in shaping risk and commercial decision making across APAC and EMEA. You will work closely with go to market leadership, bringing strong analytical judgment, business understanding, and a forward looking perspective to complex opportunities.
This role is designed for someone who already has solid experience operating in analytical and commercial environments and is ready to take broader ownership, influence strategy, and act as a trusted partner to Sales, Finance, and regional stakeholders.
What youll be doing:
Own and lead regional risk and analytics initiatives, including exposure analysis, KPI definition, ROI modeling, and value articulation for key merchants
Serve as a senior analytical partner on pricing strategy, margin evaluation, and complex commercial decisions for new and existing opportunities
Lead opportunity level revenue modeling and forecasting, working closely with Sales, Deal Ops, and Finance to support accurate planning
Evaluate deals with a holistic view of merchant needs, competitive positioning, deal structure, and long term value creation
Provide senior level analytical support during the sales process, including participation in strategic prospect discussions and solution shaping
Act as a key connector between regional go to market teams and central Analytics and R&D groups, helping drive alignment, prioritization, and execution.

we are looking for a Senior Data Scientist.
What Youll Do:
Devise, initiate, manage and execute cutting-edge exploration and exploitation projects.
Apply your knowledge of Data Science, Machine Learning and AI-driven algorithms to create scalable data solutions.
Analyze extremely large (petabytes) and diverse datasets to solve complex problems, and develop automated, intelligent systems to address them.
Design, build and deploy AI/ML models (including predictive models, recommendation systems and generative AI solutions) to drive business impact.
Leverage modern AI tools and frameworks to accelerate research and production workflows.
Proactively seek growth opportunities aligned with core KPIs.
Enable real-time and near real-time data insights - instant data gratification guaranteed.

We are looking for a Lead Data Scientist to lead strategic research initiatives. This individual will be at the forefront of our companys research, working hands-on to advance our models while also mentoring and collaborating with data scientists across the department.
Responsibilities
Spearhead strategic research of new cutting edge Machine Learning models
Mentor and advise data scientists in the Auto loans research team as well as across the research department
Design solutions for the companys core mission using Data Science methodologies from various domains
Work in a short life-cycle research and development environment
Generate and test working hypotheses in unexplored territory.

The Research Director is a critical leadership position within our company. This role involves managing a high-performing group responsible for driving profitability and strategic decision-making through advanced data analytics, optimization strategies, and predictive modeling related to loan funding and issuance (specifically in the Personal Loans product, which is our companys largest product).
This is primarily a management-focused role, requiring a high level of technical understanding to guide the team, combined with the professional maturity, scientific rigor and executive presence necessary to effectively collaborate with and present to company leadership.
Responsibilities
Leading, mentoring and managing a group (2 teams) of Data Scientists
Defining and executing overall strategy, ensuring alignment with the companys financial goals and product roadmap.
Oversighting of the group's projects, initiating new ideas and proactively improving the companys abilities.
Leading research on Affiliates, balancing between higher ranking metrics and profitability
Fostering a culture of data-driven decision-making, continuous learning, and high-velocity iteration within the team.
Directing the team in performing sophisticated data research to identify pricing and decisioning opportunities to impact profitability.
Translating complex data insights into clear, actionable business recommendations for partnerships and operational teams, to ensure seamless integration of data-driven solutions.
Serving as the primary representative of the group, presenting complex findings, strategic recommendations, and group performance metrics to the company's executive team and other departments.
Guiding the development, validation, and deployment of advanced predictive models to enhance performance.

We are looking for an Experienced Data Scientist - Data Security.
This role combines hands-on research, large-scale production systems, and close collaboration with engineering teams. The work focuses on solving real-world cybersecurity and data security challenges using modern AI approaches, including document understanding, semantic classification, LLM pipelines, and compound AI systems.
About the Team:
Our Threat Research group is composed of elite researchers and developers. We research applications, DDoS, and database attacks, develop algorithms for products, and drive innovation and thought leadership in cybersecurity. The team also develops advanced AI-driven capabilities for Data Security use cases, operating at large production scale across enterprise environments.
Key Responsibilities:
Design and develop NLP and LLM-based solutions for document understanding and sensitive data classification.
Drive projects from research and prototyping to production deployment.
Work closely with engineering teams to integrate and promote models within large-scale ML pipelines.
Improve model quality, scalability, latency, and reliability.
Design evaluation and monitoring frameworks for production AI systems.
Ensure AI models are reliable, scalable, and production-ready for enterprise security environments.

We are seeking a highly motivated and talented Junior AI Scientist to join our FILM (Foundation Intelligence & Learning Models) team. This role is designed for an early-career professional or a recent graduate who is passionate about driving customer impact, through the frontier of Artificial Intelligence, Generative AI and agentic architecture. As a Junior AI Scientist, you will work closely with senior researchers and engineers to develop, refine, and deploy cutting-edge AI solutions that impact our core technology stack.
Responsibilities:
Assist in the research and development of Generative AI (GenAI) applications and frameworks.
Clean, analyze, and interpret large datasets to derive actionable insights for model training and evaluation.
Participate in the full lifecycle of GenAI development, from initial concept to deployment and monitoring.
Stay up-to-date with the latest advancements in GenAI/ML research and propose innovative ideas to solve complex problems.

Rakuten Viber is one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make people’s lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions. Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement mathematical models and algorithms to solve complex business problems in recommendations and classification. Successful outcomes will significantly impact our hundreds of millions of daily active users around the globe. As a Senior Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at a high scale.

Responsibilities:

* Work with management and partner teams to design and implement solutions in recommender systems for given objectives.
* Lead technical efforts to improve the performance of deep learning models and propose initiatives to impact company goals directly.
* Autonomously find solutions to complex problems in social network recommendations and understand the data generation process and challenges with the data.
* Analyze and leverage the extensive data received from our application to enhance model performance and accuracy.

Advantages:

* Advanced knowledge in generative models: Auto-encoding, adversarial models, compression.
* Worked on deep learning graph model solutions with 10’s of TB of data.
* Publication in peer-reviewed conferences or journals on reinforcement learning, deep learning, and machine learning.
* Strong passion for machine learning and investing independent time towards learning, researching, and experimenting with new innovations in the field.
* Experience working with technologies like SageMaker, Athena/Trino, Spark, Milvus, and OpenSearch.

Experience:
4+

Were looking for a Senior Data Science who is excited about designing and building production-grade AI systems powered by modern LLMs and machine learning.
This role is ideal for someone who enjoys working at the intersection of AI, engineering, and product, and who is passionate about turning cutting-edge AI capabilities into reliable, scalable systems that solve real customer problems.
Youll work closely with product managers, data scientists, and engineers to design, build, and deploy AI-powered solutions - including LLM pipelines, agents, and intelligent automation systems that power our core products.
This is a hands-on role where youll take ownership of the full lifecycle of AI features - from problem framing and architecture design to deployment, evaluation, and iteration in production.
Responsibilities:
Design and build AI-powered systems that leverage LLMs, embeddings, and modern NLP techniques to transform raw product data into structured, actionable insights
Develop and maintain production-grade AI pipelines including prompt workflows, agents, retrieval systems (RAG), and automated decision processes
Work closely with product and engineering teams to translate business needs into scalable AI solutions
Architect systems that combine LLMs, data pipelines, and traditional ML into robust end-to-end products
Experiment with and integrate new AI tools, models, and frameworks to continuously improve system capabilities and performance
Own the full lifecycle of AI features - from design and prototyping to deployment, monitoring, and iteration
Ensure reliability and performance of AI systems in production, including evaluation frameworks, guardrails, and monitoring
Collaborate across teams to define best practices for AI system design, prompt engineering, and agent orchestration
Collaborate closely with cross-functional team members, effectively communicate complex ideas, share knowledge, and mentor engineers and data scientists to elevate team standards and impact

we are looking for a Senior Data Scientist.
As a Senior Data Scientist, you will be an integral part of our Machine Learning and AI team. The role is hands-on and impact-driven, focusing on building, improving, and delivering machine learning models that directly support business goals.
Responsibilities:
Design and deploy production ML systems that drive automated business decisions (pricing, bidding, resource allocation)
Build end-to-end ML pipelines - from data ingestion and model training to serving, monitoring, and incident response
Translate ambiguous business problems into rigorous mathematical frameworks and own them from conception to production impact
Conduct rigorous experimentation (A/B testing, causal inference, uplift modeling) to measure and improve model performance
Maintain and improve real-time models that adapt to incoming data and feedback signals
Mentor junior team members on ML best practices and production standards

Senior Data Scientist
Description
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement mathematical models and algorithms to solve complex business problems in recommendations and classification. Successful outcomes will significantly impact our hundreds of millions of daily active users around the globe.
As a Senior Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at a high scale.
Responsibilities:
Work with management and partner teams to design and implement solutions in recommender systems for given objectives.
Lead technical efforts to improve the performance of deep learning models and propose initiatives to impact company goals directly.
Autonomously find solutions to complex problems in social network recommendations and understand the data generation process and challenges with the data.
Analyze and leverage the extensive data received from our application to enhance model performance and accuracy.

Were seeking a passionate Senior AI Engineer to join our AI team. With a wide array of responsibilities and corresponding impact, youll help spearhead our new product offering and the world-class AI conversation product impacting millions of patients.
Responsibilities
Design, develop, and drive design processes and products that incorporate Generative AI (LLMs), models and knowledge Retrieval in order to help patients across the US.
Design and define data pipelines and evaluation pipelines.
Build applicative AI in production on a large scale.
Build solutions for different mediums, including voice products with minimal latency and high accuracy.
Provide a scientific evaluation of the quality of our models.
Continuously improve our existing NLP capabilities to help patients across the US answer any question, schedule appointments with their doctor, refill their prescriptions, and much more.

We are seeking a Senior Data Scientist to join our Data Science team and lead the development of our 2D-to-3D modeling projects and help us bring the companys vision of virtual try-on to reality. The ideal candidate will have hands-on experience in 3D reconstruction, multi-view geometry, animation and neural rendering, with a proven ability to design and deploy production-ready models.



Responsibilities:

Lead research and development of 2D-to-3D modeling solutions, including single-image 3D reconstruction, multi-view 3D reconstruction, texture mapping, PBR mapping and depth estimation.
Own your deliverables from literature research, design and development to integration, testing and ongoing support
Collaborate with cross-functional teams to integrate research outcomes into scalable production systems.
Mentor other team members and promote teamwork
Continuously optimize team processes and workflows to improve efficiency and output

A large-scale mobile platform, is seeking a highly skilled Senior Data Scientist to join our dynamic AI team. The ideal candidate blends a strong foundation in machine learning, statistics, and software engineering with a passion for modern, AI-accelerated development. You will be responsible for leading the research, design, and end-to-end development of cutting-edge machine learning systems at scale.
What you'll be doing
Innovate at Scale: Design and deploy advanced ML solutions by leveraging our vast, large-scale datasets.
Build & Scale: Develop online, scalable models and tools using machine learning, deep learning, NLP, and modern LLM frameworks.
End-to-End Ownership: Drive projects through their entire lifecycle-from translating complex business questions into technical strategies, all the way to robust production deployment.
Production Excellence: Champion high engineering standards by building, monitoring, and optimizing resilient production workflows.
Cross-Functional Collaboration: Work closely alongside data scientists, ML engineers, product managers, analysts, and developers to solve complex, multi-faceted problems.

Required Senior Data Scientist
The opportunity
Join a high-impact ML team building state-of-the-art systems that optimize experiences for billions of users. You'll tackle challenging problems across diverse datasets - with the freedom to explore novel approaches and infrastructure to deploy them at scale.
What Success Looks Like:
Short-term: Ship your first production model with measurable impact within 3 months.
Long-term: Own major ML initiatives end-to-end and introduce new methodologies that expand the team's capabilities.
Your Impact:
Elevate our technical bar with fresh ML perspectives. Shape our roadmap by identifying opportunities others miss. Your research skills keep us cutting-edge while your execution speed drives results.
What You'll Gain:
Work on real-time ML systems at scale with rich, diverse data
Autonomy to define problems and drive projects from idea to impact
Freedom to explore emerging techniques and expand your scope
Fast feedback loops through strong experimentation infrastructure
What you'll be doing
Join a high-impact ML team building state-of-the-art systems that optimize experiences for billions of users. You'll tackle challenging problems across diverse datasets - with the freedom to explore novel approaches and infrastructure to deploy them at scale.
What Success Looks Like:
Short-term: Ship your first production model with measurable impact within 3 months.
Long-term: Own major ML initiatives end-to-end and introduce new methodologies that expand the team's capabilities.
Your Impact:
Elevate our technical bar with fresh ML perspectives. Shape our roadmap by identifying opportunities others miss. Your research skills keep us cutting-edge while your execution speed drives results.
What You'll Gain:
Work on real-time ML systems at scale with rich, diverse data
Autonomy to define problems and drive projects from idea to impact
Freedom to explore emerging techniques and expand your scope
Fast feedback loops through strong experimentation infrastructure.